desarrolloasesoreslocales
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End of training
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README.md
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---
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license: mit
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tags:
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- generated_from_trainer
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base_model: desarrolloasesoreslocales/bert-leg-al-corpus
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model-index:
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- name: bert-leg-al-corpus
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results: []
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This model is a fine-tuned version of [desarrolloasesoreslocales/bert-leg-al-corpus](https://huggingface.co/desarrolloasesoreslocales/bert-leg-al-corpus) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size:
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 |
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| No log | 2.0 |
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| No log | 3.0 |
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| No log | 4.0 |
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| 1.
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### Framework versions
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---
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license: mit
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base_model: desarrolloasesoreslocales/bert-leg-al-corpus
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tags:
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- generated_from_trainer
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model-index:
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- name: bert-leg-al-corpus
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results: []
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This model is a fine-tuned version of [desarrolloasesoreslocales/bert-leg-al-corpus](https://huggingface.co/desarrolloasesoreslocales/bert-leg-al-corpus) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4067
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 20
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 120 | 1.4773 |
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| No log | 2.0 | 240 | 1.4598 |
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| No log | 3.0 | 360 | 1.4620 |
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| No log | 4.0 | 480 | 1.4332 |
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| 1.3749 | 5.0 | 600 | 1.4415 |
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| 1.3749 | 6.0 | 720 | 1.4439 |
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| 1.3749 | 7.0 | 840 | 1.4384 |
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| 1.3749 | 8.0 | 960 | 1.4056 |
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| 1.4245 | 9.0 | 1080 | 1.4504 |
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| 1.4245 | 10.0 | 1200 | 1.3799 |
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| 1.4245 | 11.0 | 1320 | 1.4202 |
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| 1.4245 | 12.0 | 1440 | 1.4374 |
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| 1.4527 | 13.0 | 1560 | 1.4145 |
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| 1.4527 | 14.0 | 1680 | 1.4299 |
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| 1.4527 | 15.0 | 1800 | 1.3918 |
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| 1.4527 | 16.0 | 1920 | 1.4007 |
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| 1.447 | 17.0 | 2040 | 1.4476 |
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| 1.447 | 18.0 | 2160 | 1.3933 |
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| 1.447 | 19.0 | 2280 | 1.4311 |
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| 1.447 | 20.0 | 2400 | 1.3902 |
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### Framework versions
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model.safetensors
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